Maria Kuteeva, in *Ibérica: Journal of the European Association of Languages for Specific Purposes*, explores the impact of generative artificial intelligence on research and publishing practices. She points out that although the volume of submissions has increased, the quality has not improved, and the use of AI is difficult to verify. She emphasizes the need to establish industry guidelines to clarify acceptable practices and integrate the use of AI into research methodologies. She also notes that the younger generation is more candid about using AI, and AI can help facilitate thinking. However, she opposes complete reliance on AI for screening manuscripts, believing that editors should actively participate in the peer-review process to help authors reconcile contradictory feedback. She also underscores the importance of supporting novice researchers and promoting diversity within the field.

Chang Shaohua, in *Foreign Languages in China*, discusses the journal's development since its inception in 2004, particularly its contributions to the field of Languages for Specific Purposes (LSP) research. He mentions that with the deepening reform of university foreign language teaching, the teaching practices and academic research of LSP have also flourished. *Foreign Languages in China* covers multiple LSP research areas, such as the disciplinary construction of Business Foreign Languages, academic English writing, and teaching material studies. He points out that artificial intelligence and initiatives like the "Four New" construction have brought new opportunities and challenges to LSP teaching and research. The editorial office is actively exploring new working models, such as adopting AI detection systems and including external reviewers with multidisciplinary backgrounds. He emphasizes that the editorial office accepts the use of AI for improving textual expression in articles, but the core arguments and innovativeness must adhere to academic standards.

Deng Yaochen, in *Foreign Languages and Their Teaching*, focuses on English for Specific Purposes (ESP) teaching and research, highlighting the importance of ESP instruction in cultivating interdisciplinary foreign language talents. He notes that the development of generative AI technology presents challenges for ESP teaching but also offers opportunities for innovative growth. He suggests that foreign language teachers should enhance their awareness of ESP teaching research and actively explore new pathways for ESP teaching and research in the era of AI. He also emphasizes the necessity of broadening the horizons of ESP teaching and research, encouraging teachers and researchers to start with the professional terminology of specific disciplinary fields to construct conceptual and knowledge systems for those specific domains.

Xia Dengshan, in *Foreign Language Education* and the *Journal of Xi'an International Studies University*, discusses the application of artificial intelligence in academic research, scholarly publishing, and research management. He believes that AI's role is limited in proposing research questions and designing methodologies, but it holds significant advantages in mechanical tasks such as corpus collection, annotation, data analysis, and language polishing. He emphasizes that researchers should actively use and explore AI while being mindful of data security issues. He also discusses the relationship between academic integrity and innovation, arguing that innovation should not be dismissed simply because it conflicts with traditional values. He proposes that local research and international development are not contradictory but involve division of labor and complementarity. Furthermore, he points out that multilingual backgrounds should be considered a research strength, not a weakness, and that large language models can provide assistance to researchers working in non-English languages.